Fuzzy logic and the Internet (FLINT): Internet, World Wide Web, and search engines

被引：11

作者：

M. Nikravesh

V. Loia

B. Azvine

机构：

[1] BISC Program,

[2] EECS Department-CS Division,undefined

[3] University of California,undefined

[4] Berkeley,undefined

[5] CA 94720 E-mail: Nikravesh@cs.berkeley.edu,undefined

[6] Dipartimento di Matematica e Informatica,undefined

[7] Università di Salerno,undefined

[8] 84081 Baronissi (Salerno),undefined

[9] Italy,undefined

[10] BTExact Technologies Orion Building pp1/12,undefined

[11] Adastral Park,undefined

[12] Martlesham,undefined

[13] Ipswich IP5 3RE,undefined

[14] UK,undefined

来源：

Soft Computing | 2002年 / 6卷 / 5期

关键词：

Fuzzy Logic; Relevant Information; Search Engine; World Wide; Exact Match;

D O I：

10.1007/s00500-002-0182-x

中图分类号：

学科分类号：

摘要：

Retrieving relevant information is a crucial component of cased-based reasoning systems for Internet applications such as search engines. The task is to use user-defined queries to retrieve useful information according to certain measures. Even though techniques exist for locating exact matches, finding relevant partial matches might be a problem. It may not be also easy to specify query requests precisely and completely – resulting in a situation known as a fuzzy-querying. It is usually not a problem for small domains, but for large repositories such as World Wide Web, a request specification becomes a bottleneck. Thus, a flexible retrieval algorithm is required, allowing for imprecise or fuzzy query specification or search.

引用

页码：287 / 299

页数：12